Title :
A neurochaotic PSO-guided network based upon perturbed duffing oscillator
Author :
Daneshyari, Moayed
Author_Institution :
Dept. of Phys., Oklahoma State Univ., Stillwater, OK
Abstract :
This paper introduces a neurochaotic information processor based upon perturbed Duffing equation. The proposed chaotic neural network has parameters to tune by which decision is made to behave either chaotically or periodically. The neurochaotic nonlinear network adopts the chaotic dynamics of so-called Duffing oscillator for the chaotic movement in the search space. It then uses the benefits of fast convergence of particle swarm optimization to settle down into the attractors of periodic solutions.
Keywords :
neural nets; particle swarm optimisation; chaotic neural network; neurochaotic PSO-guided network; neurochaotic information processor; neurochaotic nonlinear network; perturbed Duffing oscillator; Artificial neural networks; Biological neural networks; Chaos; Complex networks; Neural networks; Nonlinear dynamical systems; Nonlinear equations; Oscillators; Particle swarm optimization; Pattern recognition; Dufflng oscillator; chaos; neural network; particle swarm optimization; pattern recognition;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634118